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Quantifying Agglomerate-to-Wall Impaction in Dry Powder Inhalers
Athiya Azeem1, Gajendra Singh1,2, Lunjian Li3
1School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW, 2006, Australia.
This study quantifies agglomerate-to-wall collisions in a powder dispersion device. Higher flow rates increased particle collisions, and a predictive model was developed using logistic regression.
Area of Science:
- Pharmaceutical Sciences
- Chemical Engineering
- Materials Science
Background:
- Understanding particle behavior in inhalation devices is crucial for effective drug delivery.
- Powder dispersion devices aim to deagglomerate particles for optimal aerosolization.
- Agglomerate-to-wall collisions influence the efficiency of powder dispersion.
Purpose of the Study:
- To quantify the probability of agglomerate-to-wall collisions using advanced imaging techniques.
- To investigate the impact of flow rate and particle size on colliding agglomerates.
- To develop a predictive model for agglomerate-wall collisions in dispersion devices.
Main Methods:
- Utilized high-speed microscopic imaging and unique image processing to analyze collision events.
- Employed an in-house powder dispersion device with variable configurations, mimicking commercial inhalers.
- Tested various powder samples, including carrier Respitose® SV010 and mannitol particles of different sizes, at flow rates of 30 and 60 SLPM.
Main Results:
- Collision frequencies varied significantly with constituent particle size at 30 SLPM, but this effect diminished at 60 SLPM.
- Increasing flow rate to 60 SLPM led to a significant rise in the proportion of colliding particles for all tested powders.
- Agglomerate diameter and velocity were found to positively correlate with the probability of collision.
Conclusions:
- The probability of agglomerate-to-wall collision is influenced by particle characteristics and flow dynamics.
- A logistic regression model was successfully developed, accurately predicting collisions across different powders and flow rates.
- This research provides valuable insights for optimizing powder dispersion device design and performance.
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